Spatial design and analysis are widely used, particularly in field experimentation. However, it is often the case that spatial analysis does not enhance more traditional approaches such as row-column analysis. It is then of interest to gauge the degree of error variance bias that accrues when a spatially-designed experiment is analysed as a row-column design. This talk builds on the work of Tedin (1931) who, with R.A. Fisher as advisor, studied error variance bias in knight’s move Latin squares.